KDD
2012
ACM
11 years 7 months ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Online controlled experiments are often utilized to make datadriven decisions at Amazon, Microsoft, eBay, Facebook, Google, Yahoo, Zynga, and at many other companies. While the th...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
With the wide deployment of smart card automated fare collection (SCAFC) systems, public transit agencies have been benefiting from huge volume of transit data, a kind of sequent...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Display ads on the Internet are often sold in bundles of thousands or millions of impressions over a particular time period, typically weeks or months. Ad serving systems that ass...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...